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Development of Hybrid Intrusion Detection Systems for IoT Enabled Devices Utilizing Resource Constraint Learning Frameworks Cover

Development of Hybrid Intrusion Detection Systems for IoT Enabled Devices Utilizing Resource Constraint Learning Frameworks

Journal of Smart Internet of Things
Volume 2024 (2024): Issue 1 (June 2024)
By: P. Rachana,  Mamatha Talakoti and  V. Surya Narayana Reddy  
Open Access
|Jun 2024

Authors

P. Rachana

rachana@aiet.org.in

Department of Computer Science and Engineering, Alvas Institute of Engineering and Technology, Mangalore, India

Mamatha Talakoti

Department of Computer Science and Engineering, Sreenidhi Institute Of Science and Technology, Hyderabad, India

V. Surya Narayana Reddy

Department of Computer Science and Engineering, Bvrit Hyderabad College of Engineering for Women, Hyderabad, India
DOI: https://doi.org/10.2478/jsiot-2024-0005 | Journal eISSN: 2956-8323
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Language: English
Page range: 60 - 76
Submitted on: Feb 11, 2024
Accepted on: May 1, 2021
Published on: Jun 15, 2024
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
IoT security,
intrusion detection,
LSTM-GRU hybrid model,
grid search,
resource-constrained environments,
CICIDS 2017 dataset,
temporal dependency
Related subjects:
Engineering,
Introductions and overviews,
History of engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Electronics,
Information technology

© 2024 P. Rachana, Mamatha Talakoti, V. Surya Narayana Reddy, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.

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